Test Data Result Obj Size Not Ignored

Result

Model Summaries

Model Best Models on Exp. Better than base % of the times
LR_1_spec 15 11.4286
LR_1_All 21 1.42857
LR_1_log_spec 7 18.5714
LR_1_log_All 1 11.4286
LR_1_mean_spec 19 20
LR_1_mean_All 6 10
LR_2_spec 19 10
LR_2_All 21 5.71429
LR_2_log_spec 15 10
LR_2_log_All 2 4.28571
LR_2_mean_spec 24 18.5714
LR_2_mean_All 2 5.71429
LR_v5_spec 2 5.71429
LR_v5_All 1 5.71429
LR_v6_spec 1 5.71429
LR_v6_All 1 5.71429
little_random_forest_spec 0 31.4286
logistic_regression_spec 1 2.85714
logistic_regression_All 1 5.71429
logistic_regression_v2_spec 3 5.71429
logistic_regression_v2_All 17 57.1429
logistic_regression_v3_spec 7 37.1429
logistic_regression_v3_All 0 11.4286
logistic_regression_v4_spec 3 31.4286
logistic_regression_v4_All 0 20

Promotion Reduced (%)

\(\dfrac{Base Promotion - Model Promotion}{Base Promotion} \times 100\)

Model Max Min Avg Mdn
LR_1_spec 94.3179 0 30.262 5.40057
LR_1_All 92.4203 -0.0814759 12.9991 0
LR_1_log_spec 98.9612 0 27.6345 7.47617
LR_1_log_All 90.1819 2.57692 48.1988 52.9958
LR_1_mean_spec 95.4221 0 23.8771 0.310631
LR_1_mean_All 100 0.139368 58.6845 71.5815
LR_2_spec 91.9293 0 25.5744 0
LR_2_All 89.5874 -0.213279 12.8441 0
LR_2_log_spec 95.1937 0 27.6454 0.382983
LR_2_log_All 86.4176 5.32411 55.1869 59.7461
LR_2_mean_spec 97.0183 0 26.7121 0.0154206
LR_2_mean_All 100 0.737111 62.7988 69.2948
LR_v5_spec 100 3.77238e-06 80.0283 100
LR_v5_All 100 99.9999 100 100
LR_v6_spec 100 97.5623 99.9181 99.9998
LR_v6_All 100 97.5623 99.9181 99.9999
little_random_forest_spec 100 0.200996 64.2481 69.1575
logistic_regression_spec 100 0 77.8765 100
logistic_regression_All 100 100 100 100
logistic_regression_v2_spec 100 -0.0784616 28.6944 0.707168
logistic_regression_v2_All 56.9735 0.707168 18.2832 10.5607
logistic_regression_v3_spec 100 0.314614 70.0288 78.5025
logistic_regression_v3_All 99.2122 50.6748 90.487 95.0255
logistic_regression_v4_spec 97.4116 19.7775 70.6744 74.8239
logistic_regression_v4_All 96.3797 21.9626 74.5052 83.1461

Miss Ratio Reduced (%)

\(\dfrac{Base Miss Ratio - Model Miss Ratio}{Base Miss Ratio} \times 100\)

Model Max Min Avg Mdn
LR_1_spec 0.963094 -38.2969 -4.13373 -0.000127885
LR_1_All 0.151154 -46.9848 -3.08542 0
LR_1_log_spec 1.68774 -29.6923 -2.34982 -0.00175551
LR_1_log_All 2.30797 -17.2854 -4.07722 -1.53221
LR_1_mean_spec 2.49751 -45.0214 -3.23355 0
LR_1_mean_All 2.0323 -83.8301 -15.1569 -3.82646
LR_2_spec 1.71643 -38.6581 -3.57087 0
LR_2_All 1.43849 -29.5364 -2.15527 0
LR_2_log_spec 2.21177 -43.0321 -3.7943 0
LR_2_log_All 2.20056 -27.9052 -7.34634 -6.32235
LR_2_mean_spec 2.60271 -48.4051 -3.95344 0
LR_2_mean_All 1.92882 -79.7733 -15.2699 -5.40369
LR_v5_spec 2.60943 -67.5129 -16.0921 -15.4302
LR_v5_All 2.60943 -67.5129 -16.9064 -15.4302
LR_v6_spec 2.60943 -67.5122 -16.903 -15.4302
LR_v6_All 2.60943 -67.5122 -16.9031 -15.4302
little_random_forest_spec 3.7867 -16.4085 -3.40806 -1.80289
logistic_regression_spec 1.51335 -64.3863 -11.9804 -3.56557
logistic_regression_All 2.60943 -67.5129 -16.9064 -15.4302
logistic_regression_v2_spec 0.113034 -10.6636 -1.64422 -0.122698
logistic_regression_v2_All 4.23077 -8.84895 0.603377 0.290047
logistic_regression_v3_spec 23.839 -31.9559 -3.05555 -1.49142
logistic_regression_v3_All 2.70394 -50.5816 -12.5506 -11.4997
logistic_regression_v4_spec 9.62847 -25.409 -4.87457 -2.8789
logistic_regression_v4_All 2.80681 -29.7517 -6.84265 -6.14585

Model Summaries Plot

Miss Ratio Reduced (%)

\(\dfrac{Base Miss Ratio - Model Miss Ratio}{Base Miss Ratio} \times 100\)

Promotion Reduced (%)

\(\dfrac{Base Promotion - Model Promotion}{Base Promotion} \times 100\)

True Negatives (%)

True Positives (%)

False Negatives (%)

False Positives (%)

Individual Workload Result

10

https://ftp.pdl.cmu.edu/pub/datasets/twemcacheWorkload/cacheDatasets/alibabaBlock/v2/10.oracleGeneral.zst

0.001

Best Models: LR_1_All,LR_2_spec,LR_2_All,LR_2_mean_spec,LR_v5_spec
Miss Ratio: 0.999568

0.01

Best Models: LR_v5_spec,LR_v5_All,LR_v6_spec,LR_v6_All,logistic_regression_spec,logistic_regression_All
Miss Ratio: 0.890473

0.1

Best Models: logistic_regression_v4_spec
Miss Ratio: 0.0346106

0.2

Best Models: logistic_regression_v3_spec
Miss Ratio: 0.0342232

0.4

Best Models: logistic_regression_v4_spec
Miss Ratio: 0.0336914

Object Size Ignored

2016_LUN6

https://ftp.pdl.cmu.edu/pub/datasets/twemcacheWorkload/cacheDatasets/systor/2016_LUN6.oracleGeneral.zst

0.001

Best Models: LR_2_All
Miss Ratio: 0.830015

0.01

Best Models: LR_1_All,LR_2_All
Miss Ratio: 0.699474

0.1

Best Models: logistic_regression_v2_All
Miss Ratio: 0.383723

0.2

Best Models: logistic_regression_v2_spec
Miss Ratio: 0.198792

0.4

Best Models: logistic_regression_v2_spec
Miss Ratio: 0.143264

Object Size Ignored

202206_kv_traces_all.csv

https://ftp.pdl.cmu.edu/pub/datasets/twemcacheWorkload/cacheDatasets/metaKV/202206_kv_traces_all.csv.oracleGeneral.zst

0.001

Best Models: logistic_regression_v2_All
Miss Ratio: 0.211619

0.01

Best Models: logistic_regression_v2_All
Miss Ratio: 0.100321

0.1

Best Models: logistic_regression_v2_All
Miss Ratio: 0.0499373

0.2

Best Models: logistic_regression_v2_All
Miss Ratio: 0.0411439

0.4

Best Models: logistic_regression_v3_spec
Miss Ratio: 0.0338314

Object Size Ignored

8610

https://ftp.pdl.cmu.edu/pub/datasets/twemcacheWorkload/cacheDatasets/tencentBlock/v2/traces/8610.oracleGeneral.zst

0.001

Best Models: LR_1_spec
Miss Ratio: 0.9037

0.01

Best Models: logistic_regression_v2_All
Miss Ratio: 0.79176

0.1

Best Models: logistic_regression_v4_spec
Miss Ratio: 0.176032

0.2

Best Models: logistic_regression_v3_spec
Miss Ratio: 0.0491772

0.4

Best Models: logistic_regression_v3_spec
Miss Ratio: 0.00992362

Object Size Ignored

cluster53

https://ftp.pdl.cmu.edu/pub/datasets/twemcacheWorkload/cacheDatasets/twitter/cluster53.oracleGeneral.zst

0.001

Best Models: logistic_regression_v2_All
Miss Ratio: 0.636095

0.01

Best Models: logistic_regression_v2_All
Miss Ratio: 0.313188

0.1

Best Models: logistic_regression_v2_All
Miss Ratio: 0.108301

0.2

Best Models: logistic_regression_v2_All
Miss Ratio: 0.0763369

0.4

Best Models: logistic_regression_v3_spec
Miss Ratio: 0.0537166

Object Size Ignored

meta_rprn

https://ftp.pdl.cmu.edu/pub/datasets/twemcacheWorkload/cacheDatasets/metaCDN/meta_rprn.oracleGeneral.zst

0.001

Best Models: logistic_regression_v2_All
Miss Ratio: 0.586703

0.01

Best Models: logistic_regression_v2_All
Miss Ratio: 0.520473

0.1

Best Models: logistic_regression_v2_All
Miss Ratio: 0.429722

0.2

Best Models: logistic_regression_v2_All
Miss Ratio: 0.389006

0.4

Best Models: logistic_regression_v3_spec
Miss Ratio: 0.346304

Object Size Ignored

wiki_2019u

https://ftp.pdl.cmu.edu/pub/datasets/twemcacheWorkload/cacheDatasets/wiki/wiki_2019u.oracleGeneral.zst

0.001

Best Models: logistic_regression_v2_All
Miss Ratio: 0.6071

0.01

Best Models: logistic_regression_v2_All
Miss Ratio: 0.290395

0.1

Best Models: logistic_regression_v2_All
Miss Ratio: 0.0668907

0.2

Best Models: logistic_regression_v2_spec
Miss Ratio: 0.0386781

0.4

Best Models: logistic_regression_v3_spec
Miss Ratio: 0.0239131

Object Size Ignored

zipf_0.3

0.001

Best Models: LR_1_mean_All
Miss Ratio: 0.998778

0.01

Best Models: LR_1_mean_All
Miss Ratio: 0.987792

0.1

Best Models: LR_1_mean_All
Miss Ratio: 0.879949

0.2

Best Models: LR_1_mean_All
Miss Ratio: 0.765574

0.4

Best Models: LR_1_mean_All
Miss Ratio: 0.552575

Object Size Ignored

zipf_0.7

0.001

Best Models: LR_1_spec,LR_1_mean_spec,LR_2_spec,LR_2_All,LR_2_log_spec
Miss Ratio: 0.961411

0.01

Best Models: LR_1_spec,LR_1_All,LR_1_mean_spec,LR_2_spec,LR_2_All,LR_2_log_spec,LR_2_mean_spec
Miss Ratio: 0.872851

0.1

Best Models: LR_1_spec,LR_1_All,LR_1_log_spec,LR_1_mean_spec,LR_2_spec,LR_2_All,LR_2_log_spec,LR_2_mean_spec
Miss Ratio: 0.632252

0.2

Best Models: LR_1_spec,LR_1_All,LR_1_log_spec,LR_1_mean_spec,LR_2_spec,LR_2_All,LR_2_log_spec,LR_2_mean_spec
Miss Ratio: 0.499366

0.4

Best Models: LR_1_spec,LR_1_All,LR_1_log_spec,LR_1_mean_spec,LR_2_spec,LR_2_All,LR_2_log_spec,LR_2_mean_spec
Miss Ratio: 0.321945

Object Size Ignored

zipf_0

0.001

Best Models: LR_1_spec,LR_1_All,LR_1_log_spec,LR_1_log_All,LR_1_mean_spec,LR_1_mean_All,LR_2_spec,LR_2_All,LR_2_log_spec,LR_2_log_All,LR_2_mean_spec,LR_2_mean_All
Miss Ratio: 0.998997

0.01

Best Models: LR_1_spec,LR_1_All,LR_1_log_spec,LR_1_mean_spec,LR_2_spec,LR_2_All,LR_2_log_spec,LR_2_mean_spec
Miss Ratio: 0.990002

0.1

Best Models: LR_2_mean_All
Miss Ratio: 0.900068

0.2

Best Models: LR_2_log_All
Miss Ratio: 0.800221

0.4

Best Models: LR_1_mean_spec
Miss Ratio: 0.600966

Object Size Ignored

zipf_1.3

0.001

Best Models: LR_1_spec,LR_1_mean_spec,LR_2_spec,LR_2_All,LR_2_log_spec,LR_2_mean_spec
Miss Ratio: 0.145437

0.01

Best Models: LR_1_spec,LR_1_All,LR_2_spec,LR_2_All
Miss Ratio: 0.0645036

0.1

Best Models: LR_1_All,LR_2_All,LR_2_mean_spec
Miss Ratio: 0.0239022

0.2

Best Models: LR_1_All,LR_2_spec,LR_2_mean_spec
Miss Ratio: 0.0163646

0.4

Best Models: LR_1_mean_spec,LR_2_mean_spec
Miss Ratio: 0.0105821

Object Size Ignored

zipf_1.7

0.001

Best Models: LR_1_mean_spec,LR_2_mean_spec
Miss Ratio: 0.0520027

0.01

Best Models: LR_1_spec,LR_1_All,LR_1_mean_spec,LR_2_spec,LR_2_All,LR_2_log_spec,LR_2_mean_spec
Miss Ratio: 0.0103631

0.1

Best Models: LR_1_All,LR_2_All
Miss Ratio: 0.00205443

0.2

Best Models: LR_1_All,LR_2_spec
Miss Ratio: 0.00128691

0.4

Best Models: LR_2_mean_spec
Miss Ratio: 0.00085926

Object Size Ignored

zipf_1

0.001

Best Models: LR_2_mean_spec
Miss Ratio: 0.586253

0.01

Best Models: LR_1_spec,LR_1_All,LR_1_mean_spec,LR_2_spec,LR_2_All,LR_2_log_spec,LR_2_mean_spec
Miss Ratio: 0.405233

0.1

Best Models: LR_1_spec,LR_1_All,LR_1_mean_spec,LR_2_spec,LR_2_All,LR_2_log_spec,LR_2_mean_spec
Miss Ratio: 0.213886

0.2

Best Models: LR_1_spec,LR_1_All,LR_1_log_spec,LR_1_mean_spec,LR_2_spec,LR_2_All,LR_2_log_spec,LR_2_mean_spec
Miss Ratio: 0.152787

0.4

Best Models: LR_1_All,LR_1_log_spec,LR_1_mean_spec,LR_2_spec,LR_2_All,LR_2_log_spec,LR_2_mean_spec
Miss Ratio: 0.0897345

Object Size Ignored

zipf_2

0.001

Best Models: LR_2_mean_spec
Miss Ratio: 0.0677587

0.01

Best Models: LR_1_spec,LR_1_All,LR_1_mean_spec,LR_2_spec,LR_2_All,LR_2_log_spec,LR_2_mean_spec
Miss Ratio: 0.00656036

0.1

Best Models: LR_1_All,LR_1_mean_spec,LR_2_All,LR_2_mean_spec
Miss Ratio: 0.00065771

0.2

Best Models: LR_1_All,LR_2_spec,LR_2_log_spec,LR_2_mean_spec
Miss Ratio: 0.00034185

0.4

Best Models: LR_1_mean_spec,LR_2_mean_spec
Miss Ratio: 0.00019375

Object Size Ignored

Test Data Result Obj Size Ignored

Result

Model Summaries

Model Best Models on Exp. Better than base % of the times
LR_1_spec 19 14.2857
LR_1_All 29 5.71429
LR_1_log_spec 11 15.7143
LR_1_log_All 1 7.14286
LR_1_mean_spec 11 14.2857
LR_1_mean_All 7 10
LR_2_spec 21 8.57143
LR_2_All 25 7.24638
LR_2_log_spec 13 2.85714
LR_2_log_All 3 4.28571
LR_2_mean_spec 13 4.28571
LR_2_mean_All 3 5.71429
LR_v5_spec 4 5.71429
LR_v5_All 1 5.71429
LR_v6_spec 1 5.71429
LR_v6_All 1 5.71429
little_random_forest_spec 0 8.57143
logistic_regression_spec 2 14.2857
logistic_regression_All 4 11.4286
logistic_regression_v2_spec 6 11.4286
logistic_regression_v2_All 10 5.71429
logistic_regression_v3_spec 0 8.57143
logistic_regression_v3_All 0 2.85714
logistic_regression_v4_spec 3 5.71429
logistic_regression_v4_All 0 11.4286

Promotion Reduced (%)

\(\dfrac{Base Promotion - Model Promotion}{Base Promotion} \times 100\)

Model Max Min Avg Mdn
LR_1_spec 92.0446 0 32.7461 10.5128
LR_1_All 91.9917 -1.06327 14.4885 0
LR_1_log_spec 100 -1.12488 32.8915 15.5722
LR_1_log_All 90.6117 3.97207 48.3129 52.9563
LR_1_mean_spec 97.3788 -1.12488 36.6896 11.0929
LR_1_mean_All 99.9988 -0.872275 58.8501 81.6335
LR_2_spec 90.931 0 27.1572 0
LR_2_All 88.8918 -1.08096 16.0244 0
LR_2_log_spec 95.7198 0 34.0425 12.8883
LR_2_log_All 84.3947 5.1315 53.7967 59.2451
LR_2_mean_spec 97.8264 0 37.0855 12.0563
LR_2_mean_All 99.9956 0.804119 61.8432 79.2326
LR_v5_spec 100 6.78421e-06 80.0002 100
LR_v5_All 100 100 100 100
LR_v6_spec 100 97.7969 99.9305 99.9999
LR_v6_All 100 97.7968 99.9304 99.9999
little_random_forest_spec 98.4318 15.6201 65.9544 74.0006
logistic_regression_spec 100 0 73.5277 86.7793
logistic_regression_All 99.9965 0 59.1499 68.9119
logistic_regression_v2_spec 100 0 42.788 25.96
logistic_regression_v2_All 99.8691 -6.6907e-06 46.267 50.0287
logistic_regression_v3_spec 99.9781 0 75.9921 85.43
logistic_regression_v3_All 99.2417 39.3788 90.4969 94.528
logistic_regression_v4_spec 94.894 0 57.4264 68.9322
logistic_regression_v4_All 93.5123 14.7999 66.0359 73.8614

Miss Ratio Reduced (%)

\(\dfrac{Base Miss Ratio - Model Miss Ratio}{Base Miss Ratio} \times 100\)

Model Max Min Avg Mdn
LR_1_spec 0.814411 -28.9246 -3.41595 -0.0103247
LR_1_All 1.73908 -31.2671 -2.07613 0
LR_1_log_spec 1.67397 -27.121 -2.47744 -0.0347169
LR_1_log_All 2.90327 -17.9166 -4.0107 -1.77686
LR_1_mean_spec 0.370884 -34.2553 -5.0524 -0.798484
LR_1_mean_All 0.411127 -101.391 -15.6041 -4.35833
LR_2_spec 3.27644 -27.2999 -2.68145 0
LR_2_All 3.9955 -27.1992 -2.05873 0
LR_2_log_spec 0.522617 -29.7012 -3.66113 -0.350655
LR_2_log_All 1.37734 -27.8001 -6.96888 -5.78625
LR_2_mean_spec 0.420901 -34.7739 -4.98049 -0.476007
LR_2_mean_All 0.0194047 -90.674 -15.7937 -6.73837
LR_v5_spec 0.179718 -67.5507 -15.5198 -12.0956
LR_v5_All 0.179718 -67.5507 -16.3988 -12.0958
LR_v6_spec 0.179718 -67.5507 -16.3965 -12.0956
LR_v6_All 0.179718 -67.5507 -16.3965 -12.0956
little_random_forest_spec 0.787593 -15.0014 -3.60195 -1.97334
logistic_regression_spec 7.43423 -27.1145 -6.21537 -2.83513
logistic_regression_All 4.96142 -57.0391 -10.3355 -1.54011
logistic_regression_v2_spec 3.23472 -16.5131 -2.03106 -0.674374
logistic_regression_v2_All 0.955959 -50.9477 -5.64218 0
logistic_regression_v3_spec 2.74147 -24.9863 -6.43694 -2.76207
logistic_regression_v3_All 0.00140759 -44.6993 -12.9765 -9.23276
logistic_regression_v4_spec 2.95571 -25.7473 -5.19023 -2.38206
logistic_regression_v4_All 0.666145 -24.4697 -5.60997 -2.23389

Model Summaries Plot

Miss Ratio Reduced (%)

\(\dfrac{Base Miss Ratio - Model Miss Ratio}{Base Miss Ratio} \times 100\)

Promotion Reduced (%)

\(\dfrac{Base Promotion - Model Promotion}{Base Promotion} \times 100\)

True Negatives (%)

True Positives (%)

False Negatives (%)

False Positives (%)

Individual Workload Result

10

https://ftp.pdl.cmu.edu/pub/datasets/twemcacheWorkload/cacheDatasets/alibabaBlock/v2/10.oracleGeneral.zst

Object Size Ignored

0.001

Best Models: LR_1_All,LR_2_spec,LR_2_All,LR_v5_spec
Miss Ratio: 0.999575

0.01

Best Models: LR_1_mean_All
Miss Ratio: 0.994365

0.1

Best Models: logistic_regression_v4_spec
Miss Ratio: 0.062645

0.2

Best Models: LR_v5_spec,LR_v5_All,LR_v6_spec,LR_v6_All
Miss Ratio: 0.0342699

0.4

Best Models: LR_1_log_spec
Miss Ratio: 0.034033

2016_LUN6

https://ftp.pdl.cmu.edu/pub/datasets/twemcacheWorkload/cacheDatasets/systor/2016_LUN6.oracleGeneral.zst

Object Size Ignored

0.001

Best Models: LR_1_All,LR_2_All,LR_v5_spec,logistic_regression_All
Miss Ratio: 0.836408

0.01

Best Models: LR_1_All,LR_2_All
Miss Ratio: 0.733029

0.1

Best Models: logistic_regression_v2_All
Miss Ratio: 0.403522

0.2

Best Models: logistic_regression_v2_All
Miss Ratio: 0.214693

0.4

Best Models: logistic_regression_v2_spec,logistic_regression_v2_All
Miss Ratio: 0.147587

202206_kv_traces_all.csv

https://ftp.pdl.cmu.edu/pub/datasets/twemcacheWorkload/cacheDatasets/metaKV/202206_kv_traces_all.csv.oracleGeneral.zst

Object Size Ignored

0.001

Best Models: LR_1_All,LR_2_All
Miss Ratio: 0.242686

0.01

Best Models: LR_1_log_spec,LR_1_mean_spec
Miss Ratio: 0.115557

0.1

Best Models: logistic_regression_v2_spec,logistic_regression_v2_All
Miss Ratio: 0.0552932

0.2

Best Models: logistic_regression_v2_spec,logistic_regression_v2_All
Miss Ratio: 0.0451591

0.4

Best Models: logistic_regression_v2_spec,logistic_regression_v2_All
Miss Ratio: 0.0351843

8610

https://ftp.pdl.cmu.edu/pub/datasets/twemcacheWorkload/cacheDatasets/tencentBlock/v2/traces/8610.oracleGeneral.zst

Object Size Ignored

0.001

Best Models: LR_1_spec
Miss Ratio: 0.89831

0.01

Best Models: LR_1_spec,LR_1_All,LR_2_spec,LR_2_All,LR_2_log_spec,LR_2_mean_spec
Miss Ratio: 0.763691

0.1

Best Models: LR_1_log_spec
Miss Ratio: 0.164029

0.2

Best Models: LR_1_mean_spec
Miss Ratio: 0.0521634

0.4

Best Models: logistic_regression_spec
Miss Ratio: 0.0126432

cluster53

https://ftp.pdl.cmu.edu/pub/datasets/twemcacheWorkload/cacheDatasets/twitter/cluster53.oracleGeneral.zst

Object Size Ignored

0.001

Best Models: LR_1_log_spec
Miss Ratio: 0.456887

0.01

Best Models: LR_1_log_spec
Miss Ratio: 0.1583

0.1

Best Models: logistic_regression_All
Miss Ratio: 0.056228

0.2

Best Models: logistic_regression_spec
Miss Ratio: 0.0403833

0.4

Best Models: LR_2_log_All
Miss Ratio: 0.0326154

meta_rprn

https://ftp.pdl.cmu.edu/pub/datasets/twemcacheWorkload/cacheDatasets/metaCDN/meta_rprn.oracleGeneral.zst

Object Size Ignored

0.001

Best Models: LR_1_All,LR_2_All,logistic_regression_All
Miss Ratio: 0.59364

0.01

Best Models: LR_1_All,LR_2_All,logistic_regression_v4_spec
Miss Ratio: 0.527533

0.1

Best Models: LR_1_All,logistic_regression_v2_All
Miss Ratio: 0.437969

0.2

Best Models: logistic_regression_v2_spec
Miss Ratio: 0.394803

0.4

Best Models: LR_2_spec
Miss Ratio: 0.353883

wiki_2019u

https://ftp.pdl.cmu.edu/pub/datasets/twemcacheWorkload/cacheDatasets/wiki/wiki_2019u.oracleGeneral.zst

Object Size Ignored

0.001

Best Models: LR_1_All,LR_2_All,LR_v5_spec,logistic_regression_All
Miss Ratio: 0.728852

0.01

Best Models: LR_1_All,LR_2_All,logistic_regression_v4_spec
Miss Ratio: 0.458307

0.1

Best Models: logistic_regression_v2_All
Miss Ratio: 0.117294

0.2

Best Models: logistic_regression_v2_All
Miss Ratio: 0.0595329

0.4

Best Models: logistic_regression_v2_spec,logistic_regression_v2_All
Miss Ratio: 0.0295192

zipf_0.3

Object Size Ignored

0.001

Best Models: LR_1_mean_All
Miss Ratio: 0.998778

0.01

Best Models: LR_1_mean_All
Miss Ratio: 0.9878

0.1

Best Models: LR_1_mean_All
Miss Ratio: 0.880255

0.2

Best Models: LR_1_mean_All
Miss Ratio: 0.766415

0.4

Best Models: LR_1_mean_All
Miss Ratio: 0.553504

zipf_0.7

Object Size Ignored

0.001

Best Models: LR_1_spec
Miss Ratio: 0.961405

0.01

Best Models: LR_1_spec,LR_1_All,LR_1_mean_spec,LR_2_spec,LR_2_All,LR_2_log_spec,LR_2_mean_spec
Miss Ratio: 0.872851

0.1

Best Models: LR_1_spec,LR_1_All,LR_1_mean_spec,LR_2_spec,LR_2_All,LR_2_log_spec,LR_2_mean_spec
Miss Ratio: 0.632252

0.2

Best Models: LR_1_spec,LR_1_All,LR_1_log_spec,LR_1_mean_spec,LR_2_spec,LR_2_All,LR_2_log_spec,LR_2_mean_spec
Miss Ratio: 0.499366

0.4

Best Models: LR_1_spec,LR_1_All,LR_1_log_spec,LR_1_mean_spec,LR_2_spec,LR_2_All,LR_2_log_spec,LR_2_mean_spec
Miss Ratio: 0.321945

zipf_0

Object Size Ignored

0.001

Best Models: LR_1_spec,LR_1_All,LR_1_log_spec,LR_1_log_All,LR_1_mean_spec,LR_1_mean_All,LR_2_spec,LR_2_All,LR_2_log_spec,LR_2_log_All,LR_2_mean_spec,LR_2_mean_All
Miss Ratio: 0.998997

0.01

Best Models: LR_1_spec,LR_1_All,LR_1_log_spec,LR_1_mean_spec,LR_2_spec,LR_2_All,LR_2_log_spec,LR_2_mean_spec
Miss Ratio: 0.990002

0.1

Best Models: LR_2_mean_All
Miss Ratio: 0.900066

0.2

Best Models: LR_2_log_All
Miss Ratio: 0.800227

0.4

Best Models: LR_2_mean_All
Miss Ratio: 0.600963

zipf_1.3

Object Size Ignored

0.001

Best Models: LR_1_spec
Miss Ratio: 0.145431

0.01

Best Models: LR_1_spec,LR_1_All,LR_2_spec,LR_2_All
Miss Ratio: 0.0645036

0.1

Best Models: LR_1_All,LR_2_All
Miss Ratio: 0.0239022

0.2

Best Models: LR_1_All,LR_2_spec
Miss Ratio: 0.0163646

0.4

Best Models: LR_2_spec
Miss Ratio: 0.0105821

zipf_1.7

Object Size Ignored

0.001

Best Models: LR_1_spec
Miss Ratio: 0.0519973

0.01

Best Models: LR_1_spec,LR_1_All,LR_2_spec,LR_2_All,LR_2_log_spec
Miss Ratio: 0.0103631

0.1

Best Models: LR_1_All,LR_2_All
Miss Ratio: 0.00205443

0.2

Best Models: LR_1_All,LR_2_spec
Miss Ratio: 0.00128691

0.4

Best Models: LR_2_spec
Miss Ratio: 0.00085926

zipf_1

Object Size Ignored

0.001

Best Models: LR_1_spec
Miss Ratio: 0.586254

0.01

Best Models: LR_1_spec,LR_1_All,LR_2_spec,LR_2_All,LR_2_log_spec,LR_2_mean_spec
Miss Ratio: 0.405233

0.1

Best Models: LR_1_spec,LR_1_All,LR_1_mean_spec,LR_2_spec,LR_2_All,LR_2_log_spec,LR_2_mean_spec
Miss Ratio: 0.213886

0.2

Best Models: LR_1_spec,LR_1_All,LR_1_log_spec,LR_1_mean_spec,LR_2_spec,LR_2_All,LR_2_log_spec,LR_2_mean_spec
Miss Ratio: 0.152787

0.4

Best Models: LR_1_All,LR_1_log_spec,LR_1_mean_spec,LR_2_spec,LR_2_All,LR_2_log_spec,LR_2_mean_spec
Miss Ratio: 0.0897345

zipf_2

Object Size Ignored

0.001

Best Models: LR_1_spec
Miss Ratio: 0.0677552

0.01

Best Models: LR_1_spec,LR_1_All,LR_2_spec,LR_2_All,LR_2_log_spec,LR_2_mean_spec
Miss Ratio: 0.00656036

0.1

Best Models: LR_1_All,LR_2_All
Miss Ratio: 0.00065771

0.2

Best Models: LR_1_All,LR_2_spec
Miss Ratio: 0.00034185

0.4

Best Models: LR_2_mean_spec
Miss Ratio: 0.00019374

Test Data Result Combined

Result

Model Summaries

Model Best Models on Exp. Better than base % of the times
LR_1_spec 34 12.8571
LR_1_All 50 3.57143
LR_1_log_spec 18 17.1429
LR_1_log_All 2 9.28571
LR_1_mean_spec 30 17.1429
LR_1_mean_All 13 10
LR_2_spec 40 9.28571
LR_2_All 46 6.47482
LR_2_log_spec 28 6.42857
LR_2_log_All 5 4.28571
LR_2_mean_spec 37 11.4286
LR_2_mean_All 5 5.71429
LR_v5_spec 6 5.71429
LR_v5_All 2 5.71429
LR_v6_spec 2 5.71429
LR_v6_All 2 5.71429
little_random_forest_spec 0 20
logistic_regression_spec 3 8.57143
logistic_regression_All 5 8.57143
logistic_regression_v2_spec 9 8.57143
logistic_regression_v2_All 27 31.4286
logistic_regression_v3_spec 7 22.8571
logistic_regression_v3_All 0 7.14286
logistic_regression_v4_spec 6 18.5714
logistic_regression_v4_All 0 15.7143

Promotion Reduced (%)

\(\dfrac{Base Promotion - Model Promotion}{Base Promotion} \times 100\)

Model Max Min Avg Mdn
LR_1_spec 94.3179 0 31.5041 5.98883
LR_1_All 92.4203 -1.06327 13.7438 0
LR_1_log_spec 100 -1.12488 30.263 11.009
LR_1_log_All 90.6117 2.57692 48.2558 52.9958
LR_1_mean_spec 97.3788 -1.12488 30.2833 2.63595
LR_1_mean_All 100 -0.872275 58.7673 72.406
LR_2_spec 91.9293 0 26.3658 0
LR_2_All 89.5874 -1.08096 14.4228 0
LR_2_log_spec 95.7198 0 30.8439 5.16365
LR_2_log_All 86.4176 5.1315 54.4918 59.2451
LR_2_mean_spec 97.8264 0 31.8988 0.289551
LR_2_mean_All 100 0.737111 62.321 71.947
LR_v5_spec 100 3.77238e-06 80.0142 100
LR_v5_All 100 99.9999 100 100
LR_v6_spec 100 97.5623 99.9243 99.9999
LR_v6_All 100 97.5623 99.9243 99.9999
little_random_forest_spec 100 0.200996 65.1012 72.4465
logistic_regression_spec 100 0 75.7021 99.9867
logistic_regression_All 100 0 79.575 99.9982
logistic_regression_v2_spec 100 -0.0784616 35.7412 6.30771
logistic_regression_v2_All 99.8691 -6.6907e-06 32.2751 13.8486
logistic_regression_v3_spec 100 0 73.0104 85.4181
logistic_regression_v3_All 99.2417 39.3788 90.4919 94.8823
logistic_regression_v4_spec 97.4116 0 64.0504 70.5971
logistic_regression_v4_All 96.3797 14.7999 70.2706 76.9763

Miss Ratio Reduced (%)

\(\dfrac{Base Miss Ratio - Model Miss Ratio}{Base Miss Ratio} \times 100\)

Model Max Min Avg Mdn
LR_1_spec 0.963094 -38.2969 -3.77484 -0.00479191
LR_1_All 1.73908 -46.9848 -2.58077 0
LR_1_log_spec 1.68774 -29.6923 -2.41363 -0.00931561
LR_1_log_All 2.90327 -17.9166 -4.04396 -1.73808
LR_1_mean_spec 2.49751 -45.0214 -4.14297 -0.000351399
LR_1_mean_All 2.0323 -101.391 -15.3805 -4.08282
LR_2_spec 3.27644 -38.6581 -3.12616 0
LR_2_All 3.9955 -29.5364 -2.10735 0
LR_2_log_spec 2.21177 -43.0321 -3.72772 -5.00213e-05
LR_2_log_All 2.20056 -27.9052 -7.15761 -6.12637
LR_2_mean_spec 2.60271 -48.4051 -4.46696 0
LR_2_mean_All 1.92882 -90.674 -15.5318 -6.17077
LR_v5_spec 2.60943 -67.5507 -15.8059 -12.1399
LR_v5_All 2.60943 -67.5507 -16.6526 -12.1861
LR_v6_spec 2.60943 -67.5507 -16.6497 -12.186
LR_v6_All 2.60943 -67.5507 -16.6498 -12.186
little_random_forest_spec 3.7867 -16.4085 -3.505 -1.88811
logistic_regression_spec 7.43423 -64.3863 -9.09787 -3.20035
logistic_regression_All 4.96142 -67.5129 -13.6209 -3.37766
logistic_regression_v2_spec 3.23472 -16.5131 -1.83764 -0.161767
logistic_regression_v2_All 4.23077 -50.9477 -2.5194 0
logistic_regression_v3_spec 23.839 -31.9559 -4.74624 -2.55056
logistic_regression_v3_All 2.70394 -50.5816 -12.7636 -10.0336
logistic_regression_v4_spec 9.62847 -25.7473 -5.0324 -2.44283
logistic_regression_v4_All 2.80681 -29.7517 -6.22631 -4.20272

Model Summaries Plot

Miss Ratio Reduced (%)

\(\dfrac{Base Miss Ratio - Model Miss Ratio}{Base Miss Ratio} \times 100\)

Promotion Reduced (%)

\(\dfrac{Base Promotion - Model Promotion}{Base Promotion} \times 100\)

True Negatives (%)

True Positives (%)

False Negatives (%)

False Positives (%)

Individual Workload Result

10

https://ftp.pdl.cmu.edu/pub/datasets/twemcacheWorkload/cacheDatasets/alibabaBlock/v2/10.oracleGeneral.zst

0.001

Best Models: LR_1_All,LR_2_spec,LR_2_All,LR_2_mean_spec,LR_v5_spec
Miss Ratio: 0.999568

0.01

Best Models: LR_v5_spec,LR_v5_All,LR_v6_spec,LR_v6_All,logistic_regression_spec,logistic_regression_All
Miss Ratio: 0.890473

0.1

Best Models: logistic_regression_v4_spec
Miss Ratio: 0.0346106

0.2

Best Models: logistic_regression_v3_spec
Miss Ratio: 0.0342232

0.4

Best Models: logistic_regression_v4_spec
Miss Ratio: 0.0336914

Object Size Ignored

0.001

Best Models: LR_1_All,LR_2_spec,LR_2_All,LR_v5_spec
Miss Ratio: 0.999575

0.01

Best Models: LR_1_mean_All
Miss Ratio: 0.994365

0.1

Best Models: logistic_regression_v4_spec
Miss Ratio: 0.062645

0.2

Best Models: LR_v5_spec,LR_v5_All,LR_v6_spec,LR_v6_All
Miss Ratio: 0.0342699

0.4

Best Models: LR_1_log_spec
Miss Ratio: 0.034033

2016_LUN6

https://ftp.pdl.cmu.edu/pub/datasets/twemcacheWorkload/cacheDatasets/systor/2016_LUN6.oracleGeneral.zst

0.001

Best Models: LR_2_All
Miss Ratio: 0.830015

0.01

Best Models: LR_1_All,LR_2_All
Miss Ratio: 0.699474

0.1

Best Models: logistic_regression_v2_All
Miss Ratio: 0.383723

0.2

Best Models: logistic_regression_v2_spec
Miss Ratio: 0.198792

0.4

Best Models: logistic_regression_v2_spec
Miss Ratio: 0.143264

Object Size Ignored

0.001

Best Models: LR_1_All,LR_2_All,LR_v5_spec,logistic_regression_All
Miss Ratio: 0.836408

0.01

Best Models: LR_1_All,LR_2_All
Miss Ratio: 0.733029

0.1

Best Models: logistic_regression_v2_All
Miss Ratio: 0.403522

0.2

Best Models: logistic_regression_v2_All
Miss Ratio: 0.214693

0.4

Best Models: logistic_regression_v2_spec,logistic_regression_v2_All
Miss Ratio: 0.147587

202206_kv_traces_all.csv

https://ftp.pdl.cmu.edu/pub/datasets/twemcacheWorkload/cacheDatasets/metaKV/202206_kv_traces_all.csv.oracleGeneral.zst

0.001

Best Models: logistic_regression_v2_All
Miss Ratio: 0.211619

0.01

Best Models: logistic_regression_v2_All
Miss Ratio: 0.100321

0.1

Best Models: logistic_regression_v2_All
Miss Ratio: 0.0499373

0.2

Best Models: logistic_regression_v2_All
Miss Ratio: 0.0411439

0.4

Best Models: logistic_regression_v3_spec
Miss Ratio: 0.0338314

Object Size Ignored

0.001

Best Models: LR_1_All,LR_2_All
Miss Ratio: 0.242686

0.01

Best Models: LR_1_log_spec,LR_1_mean_spec
Miss Ratio: 0.115557

0.1

Best Models: logistic_regression_v2_spec,logistic_regression_v2_All
Miss Ratio: 0.0552932

0.2

Best Models: logistic_regression_v2_spec,logistic_regression_v2_All
Miss Ratio: 0.0451591

0.4

Best Models: logistic_regression_v2_spec,logistic_regression_v2_All
Miss Ratio: 0.0351843

8610

https://ftp.pdl.cmu.edu/pub/datasets/twemcacheWorkload/cacheDatasets/tencentBlock/v2/traces/8610.oracleGeneral.zst

0.001

Best Models: LR_1_spec
Miss Ratio: 0.9037

0.01

Best Models: logistic_regression_v2_All
Miss Ratio: 0.79176

0.1

Best Models: logistic_regression_v4_spec
Miss Ratio: 0.176032

0.2

Best Models: logistic_regression_v3_spec
Miss Ratio: 0.0491772

0.4

Best Models: logistic_regression_v3_spec
Miss Ratio: 0.00992362

Object Size Ignored

0.001

Best Models: LR_1_spec
Miss Ratio: 0.89831

0.01

Best Models: LR_1_spec,LR_1_All,LR_2_spec,LR_2_All,LR_2_log_spec,LR_2_mean_spec
Miss Ratio: 0.763691

0.1

Best Models: LR_1_log_spec
Miss Ratio: 0.164029

0.2

Best Models: LR_1_mean_spec
Miss Ratio: 0.0521634

0.4

Best Models: logistic_regression_spec
Miss Ratio: 0.0126432

cluster53

https://ftp.pdl.cmu.edu/pub/datasets/twemcacheWorkload/cacheDatasets/twitter/cluster53.oracleGeneral.zst

0.001

Best Models: logistic_regression_v2_All
Miss Ratio: 0.636095

0.01

Best Models: logistic_regression_v2_All
Miss Ratio: 0.313188

0.1

Best Models: logistic_regression_v2_All
Miss Ratio: 0.108301

0.2

Best Models: logistic_regression_v2_All
Miss Ratio: 0.0763369

0.4

Best Models: logistic_regression_v3_spec
Miss Ratio: 0.0537166

Object Size Ignored

0.001

Best Models: LR_1_log_spec
Miss Ratio: 0.456887

0.01

Best Models: LR_1_log_spec
Miss Ratio: 0.1583

0.1

Best Models: logistic_regression_All
Miss Ratio: 0.056228

0.2

Best Models: logistic_regression_spec
Miss Ratio: 0.0403833

0.4

Best Models: LR_2_log_All
Miss Ratio: 0.0326154

meta_rprn

https://ftp.pdl.cmu.edu/pub/datasets/twemcacheWorkload/cacheDatasets/metaCDN/meta_rprn.oracleGeneral.zst

0.001

Best Models: logistic_regression_v2_All
Miss Ratio: 0.586703

0.01

Best Models: logistic_regression_v2_All
Miss Ratio: 0.520473

0.1

Best Models: logistic_regression_v2_All
Miss Ratio: 0.429722

0.2

Best Models: logistic_regression_v2_All
Miss Ratio: 0.389006

0.4

Best Models: logistic_regression_v3_spec
Miss Ratio: 0.346304

Object Size Ignored

0.001

Best Models: LR_1_All,LR_2_All,logistic_regression_All
Miss Ratio: 0.59364

0.01

Best Models: LR_1_All,LR_2_All,logistic_regression_v4_spec
Miss Ratio: 0.527533

0.1

Best Models: LR_1_All,logistic_regression_v2_All
Miss Ratio: 0.437969

0.2

Best Models: logistic_regression_v2_spec
Miss Ratio: 0.394803

0.4

Best Models: LR_2_spec
Miss Ratio: 0.353883

wiki_2019u

https://ftp.pdl.cmu.edu/pub/datasets/twemcacheWorkload/cacheDatasets/wiki/wiki_2019u.oracleGeneral.zst

0.001

Best Models: logistic_regression_v2_All
Miss Ratio: 0.6071

0.01

Best Models: logistic_regression_v2_All
Miss Ratio: 0.290395

0.1

Best Models: logistic_regression_v2_All
Miss Ratio: 0.0668907

0.2

Best Models: logistic_regression_v2_spec
Miss Ratio: 0.0386781

0.4

Best Models: logistic_regression_v3_spec
Miss Ratio: 0.0239131

Object Size Ignored

0.001

Best Models: LR_1_All,LR_2_All,LR_v5_spec,logistic_regression_All
Miss Ratio: 0.728852

0.01

Best Models: LR_1_All,LR_2_All,logistic_regression_v4_spec
Miss Ratio: 0.458307

0.1

Best Models: logistic_regression_v2_All
Miss Ratio: 0.117294

0.2

Best Models: logistic_regression_v2_All
Miss Ratio: 0.0595329

0.4

Best Models: logistic_regression_v2_spec,logistic_regression_v2_All
Miss Ratio: 0.0295192

zipf_0.3

0.001

Best Models: LR_1_mean_All
Miss Ratio: 0.998778

0.01

Best Models: LR_1_mean_All
Miss Ratio: 0.987792

0.1

Best Models: LR_1_mean_All
Miss Ratio: 0.879949

0.2

Best Models: LR_1_mean_All
Miss Ratio: 0.765574

0.4

Best Models: LR_1_mean_All
Miss Ratio: 0.552575

Object Size Ignored

0.001

Best Models: LR_1_mean_All
Miss Ratio: 0.998778

0.01

Best Models: LR_1_mean_All
Miss Ratio: 0.9878

0.1

Best Models: LR_1_mean_All
Miss Ratio: 0.880255

0.2

Best Models: LR_1_mean_All
Miss Ratio: 0.766415

0.4

Best Models: LR_1_mean_All
Miss Ratio: 0.553504

zipf_0.7

0.001

Best Models: LR_1_spec,LR_1_mean_spec,LR_2_spec,LR_2_All,LR_2_log_spec
Miss Ratio: 0.961411

0.01

Best Models: LR_1_spec,LR_1_All,LR_1_mean_spec,LR_2_spec,LR_2_All,LR_2_log_spec,LR_2_mean_spec
Miss Ratio: 0.872851

0.1

Best Models: LR_1_spec,LR_1_All,LR_1_log_spec,LR_1_mean_spec,LR_2_spec,LR_2_All,LR_2_log_spec,LR_2_mean_spec
Miss Ratio: 0.632252

0.2

Best Models: LR_1_spec,LR_1_All,LR_1_log_spec,LR_1_mean_spec,LR_2_spec,LR_2_All,LR_2_log_spec,LR_2_mean_spec
Miss Ratio: 0.499366

0.4

Best Models: LR_1_spec,LR_1_All,LR_1_log_spec,LR_1_mean_spec,LR_2_spec,LR_2_All,LR_2_log_spec,LR_2_mean_spec
Miss Ratio: 0.321945

Object Size Ignored

0.001

Best Models: LR_1_spec
Miss Ratio: 0.961405

0.01

Best Models: LR_1_spec,LR_1_All,LR_1_mean_spec,LR_2_spec,LR_2_All,LR_2_log_spec,LR_2_mean_spec
Miss Ratio: 0.872851

0.1

Best Models: LR_1_spec,LR_1_All,LR_1_mean_spec,LR_2_spec,LR_2_All,LR_2_log_spec,LR_2_mean_spec
Miss Ratio: 0.632252

0.2

Best Models: LR_1_spec,LR_1_All,LR_1_log_spec,LR_1_mean_spec,LR_2_spec,LR_2_All,LR_2_log_spec,LR_2_mean_spec
Miss Ratio: 0.499366

0.4

Best Models: LR_1_spec,LR_1_All,LR_1_log_spec,LR_1_mean_spec,LR_2_spec,LR_2_All,LR_2_log_spec,LR_2_mean_spec
Miss Ratio: 0.321945

zipf_0

0.001

Best Models: LR_1_spec,LR_1_All,LR_1_log_spec,LR_1_log_All,LR_1_mean_spec,LR_1_mean_All,LR_2_spec,LR_2_All,LR_2_log_spec,LR_2_log_All,LR_2_mean_spec,LR_2_mean_All
Miss Ratio: 0.998997

0.01

Best Models: LR_1_spec,LR_1_All,LR_1_log_spec,LR_1_mean_spec,LR_2_spec,LR_2_All,LR_2_log_spec,LR_2_mean_spec
Miss Ratio: 0.990002

0.1

Best Models: LR_2_mean_All
Miss Ratio: 0.900068

0.2

Best Models: LR_2_log_All
Miss Ratio: 0.800221

0.4

Best Models: LR_1_mean_spec
Miss Ratio: 0.600966

Object Size Ignored

0.001

Best Models: LR_1_spec,LR_1_All,LR_1_log_spec,LR_1_log_All,LR_1_mean_spec,LR_1_mean_All,LR_2_spec,LR_2_All,LR_2_log_spec,LR_2_log_All,LR_2_mean_spec,LR_2_mean_All
Miss Ratio: 0.998997

0.01

Best Models: LR_1_spec,LR_1_All,LR_1_log_spec,LR_1_mean_spec,LR_2_spec,LR_2_All,LR_2_log_spec,LR_2_mean_spec
Miss Ratio: 0.990002

0.1

Best Models: LR_2_mean_All
Miss Ratio: 0.900066

0.2

Best Models: LR_2_log_All
Miss Ratio: 0.800227

0.4

Best Models: LR_2_mean_All
Miss Ratio: 0.600963

zipf_1.3

0.001

Best Models: LR_1_spec,LR_1_mean_spec,LR_2_spec,LR_2_All,LR_2_log_spec,LR_2_mean_spec
Miss Ratio: 0.145437

0.01

Best Models: LR_1_spec,LR_1_All,LR_2_spec,LR_2_All
Miss Ratio: 0.0645036

0.1

Best Models: LR_1_All,LR_2_All,LR_2_mean_spec
Miss Ratio: 0.0239022

0.2

Best Models: LR_1_All,LR_2_spec,LR_2_mean_spec
Miss Ratio: 0.0163646

0.4

Best Models: LR_1_mean_spec,LR_2_mean_spec
Miss Ratio: 0.0105821

Object Size Ignored

0.001

Best Models: LR_1_spec
Miss Ratio: 0.145431

0.01

Best Models: LR_1_spec,LR_1_All,LR_2_spec,LR_2_All
Miss Ratio: 0.0645036

0.1

Best Models: LR_1_All,LR_2_All
Miss Ratio: 0.0239022

0.2

Best Models: LR_1_All,LR_2_spec
Miss Ratio: 0.0163646

0.4

Best Models: LR_2_spec
Miss Ratio: 0.0105821

zipf_1.7

0.001

Best Models: LR_1_mean_spec,LR_2_mean_spec
Miss Ratio: 0.0520027

0.01

Best Models: LR_1_spec,LR_1_All,LR_1_mean_spec,LR_2_spec,LR_2_All,LR_2_log_spec,LR_2_mean_spec
Miss Ratio: 0.0103631

0.1

Best Models: LR_1_All,LR_2_All
Miss Ratio: 0.00205443

0.2

Best Models: LR_1_All,LR_2_spec
Miss Ratio: 0.00128691

0.4

Best Models: LR_2_mean_spec
Miss Ratio: 0.00085926

Object Size Ignored

0.001

Best Models: LR_1_spec
Miss Ratio: 0.0519973

0.01

Best Models: LR_1_spec,LR_1_All,LR_2_spec,LR_2_All,LR_2_log_spec
Miss Ratio: 0.0103631

0.1

Best Models: LR_1_All,LR_2_All
Miss Ratio: 0.00205443

0.2

Best Models: LR_1_All,LR_2_spec
Miss Ratio: 0.00128691

0.4

Best Models: LR_2_spec
Miss Ratio: 0.00085926

zipf_1

0.001

Best Models: LR_2_mean_spec
Miss Ratio: 0.586253

0.01

Best Models: LR_1_spec,LR_1_All,LR_1_mean_spec,LR_2_spec,LR_2_All,LR_2_log_spec,LR_2_mean_spec
Miss Ratio: 0.405233

0.1

Best Models: LR_1_spec,LR_1_All,LR_1_mean_spec,LR_2_spec,LR_2_All,LR_2_log_spec,LR_2_mean_spec
Miss Ratio: 0.213886

0.2

Best Models: LR_1_spec,LR_1_All,LR_1_log_spec,LR_1_mean_spec,LR_2_spec,LR_2_All,LR_2_log_spec,LR_2_mean_spec
Miss Ratio: 0.152787

0.4

Best Models: LR_1_All,LR_1_log_spec,LR_1_mean_spec,LR_2_spec,LR_2_All,LR_2_log_spec,LR_2_mean_spec
Miss Ratio: 0.0897345

Object Size Ignored

0.001

Best Models: LR_1_spec
Miss Ratio: 0.586254

0.01

Best Models: LR_1_spec,LR_1_All,LR_2_spec,LR_2_All,LR_2_log_spec,LR_2_mean_spec
Miss Ratio: 0.405233

0.1

Best Models: LR_1_spec,LR_1_All,LR_1_mean_spec,LR_2_spec,LR_2_All,LR_2_log_spec,LR_2_mean_spec
Miss Ratio: 0.213886

0.2

Best Models: LR_1_spec,LR_1_All,LR_1_log_spec,LR_1_mean_spec,LR_2_spec,LR_2_All,LR_2_log_spec,LR_2_mean_spec
Miss Ratio: 0.152787

0.4

Best Models: LR_1_All,LR_1_log_spec,LR_1_mean_spec,LR_2_spec,LR_2_All,LR_2_log_spec,LR_2_mean_spec
Miss Ratio: 0.0897345

zipf_2

0.001

Best Models: LR_2_mean_spec
Miss Ratio: 0.0677587

0.01

Best Models: LR_1_spec,LR_1_All,LR_1_mean_spec,LR_2_spec,LR_2_All,LR_2_log_spec,LR_2_mean_spec
Miss Ratio: 0.00656036

0.1

Best Models: LR_1_All,LR_1_mean_spec,LR_2_All,LR_2_mean_spec
Miss Ratio: 0.00065771

0.2

Best Models: LR_1_All,LR_2_spec,LR_2_log_spec,LR_2_mean_spec
Miss Ratio: 0.00034185

0.4

Best Models: LR_1_mean_spec,LR_2_mean_spec
Miss Ratio: 0.00019375

Object Size Ignored

0.001

Best Models: LR_1_spec
Miss Ratio: 0.0677552

0.01

Best Models: LR_1_spec,LR_1_All,LR_2_spec,LR_2_All,LR_2_log_spec,LR_2_mean_spec
Miss Ratio: 0.00656036

0.1

Best Models: LR_1_All,LR_2_All
Miss Ratio: 0.00065771

0.2

Best Models: LR_1_All,LR_2_spec
Miss Ratio: 0.00034185

0.4

Best Models: LR_2_mean_spec
Miss Ratio: 0.00019374